Triple
T31512616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nineteen Eighty-Four (1984 film) |
E803982
|
entity |
| Predicate | roleOfSuzannaHamilton |
P178833
|
FINISHED |
| Object | Julia |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Julia | Statement: [Nineteen Eighty-Four (1984 film), roleOfSuzannaHamilton, Julia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfSuzannaHamilton Context triple: [Nineteen Eighty-Four (1984 film), roleOfSuzannaHamilton, Julia]
-
A.
roleOfCathy Hughes
Indicates the specific position, function, or capacity that Cathy Hughes holds or performs in relation to another entity or context.
-
B.
roleOfDianeSimmons
Indicates that an entity holds the role, position, or function associated with Diane Simmons.
-
C.
roleOfCarmen Pavlovic
Indicates that the specified role or position is held or performed by Carmen Pavlovic.
-
D.
MaryAstorRole
Indicates that an entity represents a role or character portrayed by Mary Astor in a film, play, or other performance.
-
E.
possibleRealIdentityOfLesbia
Indicates that one entity is a hypothesized or suggested real-world person who may correspond to the individual referred to by the pseudonym "Lesbia."
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f348ceb0a48190ae7feca263b6296c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f71421e8d08190807ccfb15d0f0ddb |
completed | May 3, 2026, 9:23 a.m. |
Created at: April 30, 2026, 9:51 p.m.